While the growth of MIS investment and its influence is making MIS evaluation ever more indispensable, little attention has been paid to assessing and communicating system effectiveness. This paper attempts to empirically assess the effectiveness of integrated human resource information system in Iranian oil industry. As suggested by recent research, the widely accepted IS success model is...

Recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. User similarity measurement plays an important role in collaborative filtering based recommender systems. In order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...

Augmented reality superimposes digital information onto objects in the physical world and enables multi-user collaboration. Despite that previous proxemic interaction research has explored many applications of user-object distance user-user an augmented context, respectively, combining both types can improve efficiency users’ perception with task collaborators by providing users insight into sp...

several semantic image search schemes have been recently proposed to retrieve images from the web. however, the query context is regularly ignored in these techniques and hence, many of the returned images are not adequately relevant. in this paper, we make use of context to further confine the outcome of the semantic search engines. for this purpose, we propose a hybrid search engine which uti...

in this research work, the impact of user’s behavior on search engine results is discussed. it aims to improvement of search results which leads to the higher satisfaction of users. in other words, we are trying to present a personalized search engine for each user, based on his/her activity and search history. we base our hypothesis that the search history of each user in a specific time frame...